per-stock model-accuracy decomposition

2345.T

computed asof 2026-08-07T09:15:52

read this first — not a buy signal

Model predictability decomposition: measures how accurately the ml-factor-lgbm-9f-jp-growth model family predicts this stock's returns within the jp-listed universe. High hit_rate_long does NOT mean 'good stock to buy' -- it means 'the model historically predicted this stock well when selecting it LONG'. This is a property of model-stock fit, not intrinsic stock quality.

Decomposes ml-factor-lgbm-9f-jp-growth. Standalone walk-forward run of the same LightGBM 9-factor family on the jp-listed universe (~4,100 tickers); the referenced record's verdict applies to the jp-growth universe only.

Accuracy (median across grid)

metric	median	p25 – p75	n
Hit rate · LONG	0.4610	0.4354 – 0.5006	12
Hit rate · SHORT	0.5694	0.5227 – 0.6299	12
Avg return · LONG (bps)	36.6	4.3056 – 64.8	12
Avg return · SHORT (bps)	43.7	-24.2 – 106.5	12
Selection rate · LONG	0.0182	0.0167 – 0.0196	12
Selection rate · SHORT	0.0153	0.0141 – 0.0167	12

Hit rate ≈ 0.5 means the model's picks on this stock were near coin-flip. Returns in bps per trade (1 bps = 0.01%).

PnL contribution

long

46.5

short

52.8

total

99.3

appearances 772608 · LONG 14135 · SHORT 11656

Research, not investment advice. Metrics describe model–stock fit, not the stock's merit.